pylama

What it is and what it does

Pylama is a command-line code audit tool that aggregates output from multiple Python linters into a single, unified report. It bundles pycodestyle (style checks), pydocstyle (docstring checks), pyflakes (logical errors), and mccabe (complexity analysis) by default, and can optionally integrate pylint, mypy, radon, eradicate, and vulture for deeper analysis. You run it once against your codebase and get consolidated results across all enabled checkers, configurable via command-line flags, INI files, or TOML configuration.

The tool is designed for developers and teams who want a single entry point for code quality checks rather than managing multiple linter invocations. It supports file-level configuration overrides, inline noqa comments to suppress specific warnings, and multiple output formats (pylint, pycodestyle, parsable, JSON). It can be integrated as a Git or Mercurial pre-commit hook and supports concurrent checking for large projects.

Use it for:

• Run a single command to check Python code against multiple style and quality standards simultaneously.
• Enforce consistent code style across a team by configuring shared pylama.ini or pyproject.toml rules.
• Integrate code auditing into CI/CD pipelines with JSON or parsable output formats.
• Suppress specific warnings on a per-file or per-line basis using configuration sections or noqa comments.
• Install as a Git hook to catch code quality issues before commit.

Worth the install?

AI-flagged interpretation of the facts on this page — verify before relying

Pylama is a code audit tool that wraps multiple Python linters (pycodestyle, pydocstyle, pyflakes, mccabe, and optionally pylint, mypy, radon, eradicate, vulture) into a single unified interface for checking code quality and style violations.

Yes. Pylama is a stable, actively maintained tool with no known vulnerabilities, low install friction, and permissive licensing. It solves a real problem—consolidating multiple linters into one interface—and is well-suited for teams wanting standardized code auditing without managing separate tool configurations. Install it if you need unified linting across multiple checkers.

Install

pylama on PyPI

pip install pylama

uv add pylama

poetry add pylama

Installing pylama

Before you install

Low friction installation with four runtime dependencies (mccabe, pycodestyle, pydocstyle, pyflakes) bundled by default. The project is actively maintained with recent commits and remains in production/stable status.

License in practice

MIT license permits use, modification, and distribution with minimal restrictions—suitable for both open-source and proprietary projects.

Quickstart

$ pip install pylama
$ pylama

Or check a specific path:
$ pylama path/to/code

Ignore specific errors:
$ pylama -i W,E501

Choose specific linters:
$ pylama -l "pycodestyle,mccabe"

Requires Python 3.7 or later. On Windows, the curses library may need to be installed separately if tests fail.

Verify before relying

• Whether optional linters (pylint, mypy, radon, eradicate, vulture) are actively maintained and compatible with current Python versions.
• Performance characteristics when checking large codebases with concurrent mode enabled.
• Compatibility of TOML configuration with modern pyproject.toml tooling ecosystems.

Package facts

Evidence: pylama-8.4.1-py3-none-any.whl

Keywords: qa, linter, pydocstyle, pycodestyle, mccabe, pylint

Tags

More Testing packages